metric ID: f1macro

Related Papers

Discriminative vs. Generative Approaches in Semantic Role Labeling

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

This paper describes the two algorithms we developed for the CoNLL 2008 Shared Task “Joint learning of syntactic and se- mantic dependencies”. Both algorithms start parsing the sentence using the …...

42253

TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe describe two systems for semantic relation classification with which we participated in the SemEval 2018 Task 7, subtask 1 on semantic relation classification: an SVM model and a CNN …...

25989

Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes our approach to SemEval-2018 Task 7 – given an entity-tagged text from the ACL Anthology corpus, identify and classify pairs of entities that have one of six …...

25986

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractLearning from social-media conversations has gained significant attention recently because of its applications in areas like rumor detection. In this research, we propose a new way to represent social-media conversations …...

39466

LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and chained classifiers. Also, we propose …...

25446

Span Detection for Aspect-Based Sentiment Analysis in Vietnamese

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Aspect-based sentiment analysis is a chal- lenging task that plays an essential role in natural language processing (NLP) and arti- ficial intelligence. However, recent works only focused on aspect detection …...

29373

Towards Few-shot Fact-Checking via Perplexity

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractFew-shot learning has drawn researchers’ attention to overcome the problem of data scarcity. Recently, large pre-trained language models have shown great performance in few-shot learning for various downstream tasks, such …...

21715

Efficient Nearest Neighbor Emotion Classification with BERT-whitening

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRetrieval-based methods have been proven effective in many NLP tasks. Previous methods use representations from the pre-trained model for similarity search directly. However, the sentence representations from the pre-trained model …...

30950

Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractOnline social media is rife with offensive and hateful comments, prompting the need for their automatic detection given the sheer amount of posts created every second. Creating high-quality human-labelled datasets …...

20047

SinaAI at SemEval-2023 Task 3: A Multilingual Transformer Language Model-based Approach for the Detection of News Genre, Framing and Persuasion Techniques

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes SinaAI’s participation in SemEval-2023 Task 3, which involves detecting propaganda in news articles across multiple languages. The task comprises three sub-tasks: (i) genre detection, (ii) news framing,and …...

24671

Team JUSTR00 at SemEval-2023 Task 3: Transformers for News Articles Classification

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe SemEval-2023 Task 3 competition offers participants a multi-lingual dataset with three schemes one for each subtask. The competition challenges participants to construct machine learning systems that can categorize news …...

24802